Karl Mason

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Modelling Electricity Consumption in Irish Dairy Farms Using Agent-Based Modelling.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

An Overview of Artificial Intelligence for Electric Vehicle Energy Systems Integration.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Reinforcement Learning for Battery Management in Dairy Farming.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence. ECAI 2023 International Workshops - XAI³, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30, 2023

Know Your Enemy: Identifying and Adapting to Adversarial Attacks in Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Seán Caulfield Curley

Patrick Mannion

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Integrating Artificial Intelligence into Electric Vehicle Energy Systems: A Survey.

[BibT_eX]

[DOI]

Proceedings of the Artificial Intelligence for Knowledge Management, Energy and Sustainability, 2023

Know Your Enemy: Identifying Adversarial Behaviours in Deep Reinforcement Learning Agents (Student Abstract).

[BibT_eX]

[DOI]

Seán Caulfield Curley

Patrick Mannion

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021

Building HVAC Control via Neural Networks and Natural Evolution Strategies.

[BibT_eX]

[DOI]

Santiago Grijalva

Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2019

A review of reinforcement learning for autonomous building energy management.

[BibT_eX]

[DOI]

Santiago Grijalva

Comput. Electr. Eng., 2019

An "On The Fly" Framework for Efficiently Generating Synthetic Big Data Sets.

[BibT_eX]

[DOI]

Sadegh Vejdan

Santiago Grijalva

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018

Predicting host CPU utilization in the cloud using evolutionary neural networks.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2018

A meta optimisation analysis of particle swarm optimisation velocity update equations for watershed management learning.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2018

2017

Multi-objective dynamic economic emission dispatch using particle swarm optimisation variants.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Policy invariance under reward transformations for multi-objective reinforcement learning.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Predicting host CPU utilization in cloud computing using recurrent neural networks.

[BibT_eX]

[DOI]

Proceedings of the 12th International Conference for Internet Technology and Secured Transactions, 2017

Evolving multi-objective neural networks using differential evolution for dynamic economic emission dispatch.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

Neural network topology and weight optimization through neuro differential evolution.

[BibT_eX]

[DOI]

Proceedings of the Genetic and Evolutionary Computation Conference, 2017

2016

Multi-Objective Dynamic Dispatch Optimisation using Multi-Agent Reinforcement Learning: (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

2015

Avoidance Strategies in Particle Swarm Optimisation.

[BibT_eX]

[DOI]